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PRIME Program for Research on Immune Modeling and Experimentation PI: Stuart Sealfon, Mount Sinai School of Medicine.

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Presentation on theme: "PRIME Program for Research on Immune Modeling and Experimentation PI: Stuart Sealfon, Mount Sinai School of Medicine."— Presentation transcript:

1 PRIME Program for Research on Immune Modeling and Experimentation PI: Stuart Sealfon, Mount Sinai School of Medicine

2 PRIME TEAM Yale University Ohio State University Princeton University Contur Software AB: Electronic Laboratory System (ImmunELN) BioAnalytics Group LLC University at Buffalo (ontologies)

3 PRIME Objectives Modelling: Develop user-friendly models of dendritic cell (DC) responses to pandemic, seasonal and modified H1N1 influenza viruses Experimentation: Measure human and mouse DC responses to test model predictions Informatics / Ontology: – point of experiment data capture – sharing of data within and without PRIME – automated deposition into Immport

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5 Modeling Overview response of DCs involves combinatorial effects of many variables – time – cytokine microenvironment – virus immune antagonist characteristics and variation between cells forming a high-dimensional experimental space that can only be sparsely explored by specific experiments  need for powerful informatics background framework

6 Experimental Program for Model Validation

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10 RELATION TO TIME GRANULARITY CONTINUANTOCCURRENT INDEPENDENTDEPENDENT ORGAN AND ORGANISM Organism (NCBI Taxonomy) Anatomical Entity (FMA, CARO) Organ Function (FMP, CPRO) Phenotypic Quality (PaTO) Biological Process (GO) CELL AND CELLULAR COMPONENT Cell (CL) Cellular Component (FMA, GO) Cellular Function (GO) MOLECULE Molecule (ChEBI, SO, RNAO, PRO) Molecular Function (GO) Molecular Process (GO) 10

11 Overview of MIFlowCyt Standard Experiment overview Purpose Experiment variables, e.g. ±treatment Organization Primary contact, Date Conclusions Quality control measures Flow Sample/Specimen Details Biological sample description Sample type, source, taxonomy... Sample treatment description Fluorescence reagent description Characteristic(s) being measured Analyte, e.g. intracellular IL-2 Analyte detector, e.g. anti-IL-2 Ab Reporter, e.g. FITC Manufacturer, Catalog # Instrument Details Instrument manufacturer Instrument model Instrument configuration and settings Excitation optics configuration: - optical filters - optical detectors - optical paths (see Data Analysis Details Data files, e.g. FCS files Compensation details Data transformation details (when no compensation) Gating (Data filtering) details

12 “MIFlowCyt is the recommended standard for flow cytometry results.” 1.Six Metadata transfer templates  Protocols.xls [linked to protocol file(s)]  Reagents.xls  SubjectsHuman.xls or SubjectsAnimal.xls  Experiments.xls  BioSamples.xls  ExperimentSamples.xls 2.Flow cytometry data deposition:  Flow cytometry results template “FCM_derived_data.xls”  FCS files to be provided For further details, go to: https://www.immport.org/immportWeb/display.do?content=DataTemplates ImmPort’s Minimum information guidelines

13 Latest ELN template for a Flow Cytometry experiment

14 Latest ELN template for a FCM experiment (continued)

15 ACS = Analysis Cytometry Standard For more details on the Analysis Cytometry Standard (ACS), go to:

16 What is needed 1.Common Ontologies 2.MIBBI Foundry 3.Netcentric Templates for Experiment Description 4.Governance


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